What do you know about the Big Data besides being an industry buzzword?

These days we hear a lot about Big Data especially in the tech industry. An organization might have receiving massive data every day to analyze, interpret and come up with the insights.

It is quite remarkable to witness how quickly this technology adapts and has taken hold on the way people learn and organizations drive business. Big Data has a bright scope and leverages the benefit of business analytics to enhance customer experience and identify new markets to drive business growth.

No wonder there is great demand of data analytics skills in the job market but still face a huge skills gap in data management and analysis. According to the Glassdoor report, Data Scientists was the top IT role in 2017, and for definitely the demand of data engineers will increase in 2018. From hiring Managers they always look for who has the skills of data analytics, data mining, statistical analysis and other analytical tools.

If you are IT professionals with the latest big data trend capabilities, future growth expectation are encouraging. There is an increase in number of Big Data Certifications on offer from vendors, universities and institutes.

Big Data Hadoop Certification Training where the industries are heading. With this certification you will have a great understanding of Hadoop framework, such as Map reduce, and spark stack, which are essential skills for Big Data Architects.

What skills will you learn from our Big Data Hadoop Certification Training?

Gain the working knowledge on different components of Hadoop ecosystem such as Hadoop 2.7, Yarn, Map Reduce, Pig, Hive, Impala, HBase, Scoop, Apache Spark, with this course.

Why Hadoop is the best Big Data Tool?

If you are going to be working with massive data, you need to think about how you store this much of data. But with the entry Hadoop framework in the industry, data management became easy as well as less expensive.

Hadoop has become synonymous with Big Data. It’s an open source framework for distributed storage of very large datasets. Hadoop provides massive amounts of storage for any kind of data and to process complicated management of data with great performance and high speed. Hadoop has main two parts: Hadoop Distributed File Systems (HDFS) and Map Reduce. HDFS is designed to store very large data sets and provides those data sets at high bandwidth to user applications. Map Reduce is the processing engine of Hadoop and is a programming model of processing large data sets with a parallel distributed algorithm.

Pursuing a career in the field of Big Data Hadoop Analysts opens up an ocean of opportunities.There are various reasons relating to why working in this field can be notable decisions.

Incredible Job Opportunities to meet the Skill Gap:

The demand for Big Data professionals in increasing steeply, but there is a shortage in supply. A study by the McKinsey Global Institute reveals that by 2018, there will be a shortage of 190000 data scientists and 1.5 million managers and analysts. India, at present, has the highest concentration of Big Data analysts, still the demand is very high.

Increasing Demands for Analytics Professionals:

Various researchers have revealed that the demand for Big Data professionals have increased tremendously in the last few years and this demand is still on the surge. This increase in job trends directly hints to the fact that the demand for technology professional that is well versed in Big Data analytics is huge and has an ocean of opportunities lying ahead.

Earn Handsome Salary:

Big Data jobs come with very attractive salary packages. A recent study into the salaries in Australia, UK and India shows that there would be a further increase in the salary trends of Big Data professionals in these countries.

Big Data is Growing Exponentially:

According to the \"Peer Research-Big Data Analytics Survey\", Big Data has been found to be one of the topmost priorities for many organizations. This is due to the fact that the exploitation of data results in huge boosts in profits for these organizations. With Big Data proving its credibility, the job opportunities are also on a surge. Hence, with so much to offer to businesses across all verticals, Big Data analytics continues to create lucrative job roles to harness the best of talents.

US: Major companies that are hiring for Hadoop

Amazon Inc.: $78,264 - $161,178

International Business Machines (IBM) Corp.: $72,052 - $163,043

Capital One Financial Corp: $90,200 - $183,994

Microsoft Corp: $98,735 - $158,117

Booz, Allen, and Hamilton: $54,248 - $172,310

Facebook Inc.: $92,110 - $199,332

Deloitte Consulting LLP: $71,768 - $185,550

General Electric Co (GE): $72,200 - $221,250

Expedia, Inc.: $88,275 - $137,500

UnitedHealth Group: $60,000 - $140,283

Google, Inc.: $66,977 - $156,111

Accenture: $78,906 - $183,125

P. Morgan Chase & Co. (JPMCC): $92,371 - $182,322

Cisco Systems Inc.: $83,957 - $151,894

Comcast Cable, Inc.: $73,899 - $157,812

eBay Inc.: $110,738 - $213,679

American Express Co. (AMEX): $85,569 - $140,482

The Nielsen Company: $110,011

Citibank: $94,259

Deloitte: $92,500

EY (Ernst & Young): $95,000

Uber Technologies, Inc.: $111,910

PayPal, Inc.: $142,482

Humana, Inc.: $128,482

Apple Computer, Inc.: $132,635

Verisk Analytics: $90,000

Johnson & Johnson: $117,447

Wells Fargo & Co.: $126,403

Oracle Corp.: $143,415

INDIA: Major companies that are hiring for Hadoop

Mu Sigma: Rs 225,000 - Rs 3,000,000

Infosys Limited: Rs 304,102 - Rs 1,775,386

Accenture Technology Solutions: Rs 261,744 - Rs 1,986,586

Cap Gemini: Rs 305,157 - Rs 2,979,879

FlipKart: Rs 2,650,000

Fractal Analytics: Rs 709,091

Accenture: Rs 600,000

Tata Consultancy Services Limited: Rs 420,000

Cognizant Technology Solutions Corp: Rs 800,999

Cap Gemini Consulting: Rs 910,000

Ericsson Inc.: Rs 1,118,000

EY (Ernst & Young): Rs 700,000

International Business Machines (IBM) Corp.: Rs 1,468,040

Impetus: Rs 1,900,000

Cognizant: Rs 500,000

McKinsey & Company, Inc.: Rs 1,080,000

Sapient Corporation: Rs 2,543,412

Amazon Inc.: Rs 750,000

Google India: Rs 950,000

Wipro: Rs 724,000

P. Morgan Chase & Co. (JPMCC): Rs 997,500

Fidelity Investments: Rs 2,000,000

American Express Co. (AMEX): Rs 1,350,000

Deloitte: Rs 650,000

Wipro Technologies Ltd.: Rs 1,750,000

Eaton Corporation: Rs 800,000

Target Corporation: Rs 610,419

Kodak Mahindra Bank: Rs 348,000

HCL Technologies Ltd.: Rs 700,000

IBM Global Services: Rs 1,250,000

But to take the maximum benefit out of your learning should be aligned with Hadoop Certification.

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